Abstract: A naive Bayesian classifier method is proposed to classify maize leaf disease according to five kinds of actual maize disease images, which are segmented and extracted feather from at first. The result shows that the precision of maize disease identifying is higher than 83%. Bayesian classifier is excellent at simple network structure and extending easily. It is effective for classifying maize disease and it can use for reference for the image recognition research on other crops.